Intelligent decision support for efficient vessel and fleet operations
We leverage our expertise in the Digital Twin space, and we apply it in the Maritime industry to bring tremendous benefits to our customers, especially with regards to increased efficiency and cost savings. The advanced digital replica of a vessel that we create can be accurately used for real-time monitoring and analysis of the twinned asset and the ability to optimise voyage planning, simulate different scenarios, and optimise vessel configuration, CO2 emissions and routing. Moreover, by monitoring the performance of several vessels, we offer solutions for complete fleet optimisation and performance monitoring, while we can predict when the maintenance of critical systems and equipment is necessary, achieving reduced downtime and increased vessel efficiency.
One-stop solution for monitoring, diagnostics, and prognostics that optimise vessel performance, prevent costly failures, and advise on the best time to service or replace it.
The analysis of operational vessel data enables maritime shipping companies to improve their operations consistently and accurately and leverage actionable insights that drive sustainability.
Manage real security incidents more effectively by taking preventive measures after predicting where the attack will unfold and how severe the impact will be.
Our predictive algorithms can assign to minimise risks, outages and irregularities, ensuring compliance, traceability and advanced reporting.
Usage of the digital twin to run effortlessly and cost-effectively complex scenarios and simulations to ensure the set of decisions made, to achieve the desired optimisations at vessel and fleet level.
Run multiple scenarios for specific parameters of the vessel and identify the optimum configuration or set of actions, based on the asset itself and its environment.
Our approach utilises best-of-class Deep Learning algorithms and Digital Twin Process that support better-informed operational decisions for vessel operators, owners, and stakeholders. It improves the operation of the ship's structural and functional components and maximises service life and mission availability. Our methodology includes the following steps:
Define business needs
Initiate workshop sessions to engage with clients and business stakeholders to discuss and define business needs.
Identify pain point areas
Analyse the main struggles of the company and how these have derived during the workshop.
Gather data to create the digital twin
Decide on the most effective strategy to gather the data from each vessel onshore, to feed our products and algorithms.
Deploy solution
Identify the optimal approach considering the client context and constraints to deliver a holistic solution.